With the emergence of technology and social media, people are getting careless and driver inattention is on the rise. This harms the safety of people on the roads. In this paper we address the issue of automated classification of driver practices leading to interruptions and driver inattention by utilizing Deep Learning and CNN(Convolutional Neural Networks). For an effective solution, the proposed work puts forth a model implementing CNN to detect the distracted driver and classify the cause of his/her distraction by processing the images sourced from a camera pre-installed in the vehicle.

Keywords : Machine Learning, Convolutional Neural Network, Deep Learning, Vgg16, Distracted Driver, Image Classification.